DocumentCode :
3232362
Title :
Improved molecular solutions for the N-QUEEN problem on DNA-based supercomputing
Author :
Wu, Fan ; Li, Kenli
Author_Institution :
Sch. of Comput. & Commun., Hunan Univ., Changsha, China
fYear :
2010
fDate :
23-26 Sept. 2010
Firstpage :
236
Lastpage :
240
Abstract :
In this paper our main point is to give molecular solution to solve N-QUEEN problem. In order to achieve this, we take the divide and conquer strategy into the DNA-based supercomputing and propose DNA-based algorithm of an n-bit Parallel Searcher to formally verify our designed molecular solutions for the N-queen problem. The theoretical and experimental analysis shows that comparing with the exhaustive DNA-based algorithm for knapsack problem the algorithm not only shortened the length of the strands, but also reduced the DNA library strands from O(2q) to O(2q/2).
Keywords :
DNA; biocomputing; combinatorial mathematics; divide and conquer methods; DNA-based algorithm; DNA-based supercomputing; N-QUEEN problem; divide and conquer strategy; molecular solution; n-bit parallel searcher; Artificial neural networks; Color; DNA; Search problems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010 IEEE Fifth International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-6437-1
Type :
conf
DOI :
10.1109/BICTA.2010.5645322
Filename :
5645322
Link To Document :
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